Accurate prediction of structural and mechanical properties on amorphous materials enabled through machine-learning potentials: A case study of silicon nitride

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Authors: Ganesh Kumar Nayak, Prashanth Srinivasan, Juraj Todt, Rostislav Daniel, Paolo Nicolini, David Holec

Journal title: Computational Materials Science

Journal number: 249

Journal publisher: Elsevier BV

Published year: 2025

Published pages: 113629

DOI identifier: 10.1016/j.commatsci.2024.113629

ISSN: 0927-0256